Paper Citation Record · LEDGER

PointFlow: 3D Point Cloud Generation with Continuous Normalizing Flows

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:1906.12320.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
1906.12320 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T05:36:08.350801Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-16T15:32:06.685022Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation e3dbfb5e-2d69-4273-891e-b5eb31955a91 · inbound

Data-Driven Approach to Encoding and Decoding 3-D Crystal Structures cites this paper.

Data-Driven Approach to Encoding and Decoding 3-D Crystal Structures PointFlow: 3D Point Cloud Generation with Continuous Normalizing Flows

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-14T05:36:08.350801Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd05c12f-f445-4266-93e0-974b150f622a · inbound

Shap-E: Generating Conditional 3D Implicit Functions cites this paper.

Shap-E: Generating Conditional 3D Implicit Functions PointFlow: 3D Point Cloud Generation with Continuous Normalizing Flows

Reference 71

Resolution: verified exact; arxiv_id, observed 2026-05-16T15:32:06.687661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 85388a5d-9f10-4afb-9062-546e4af393c7 · inbound

Application of normalizing flows to nuclear many-body perturbation theory cites this paper.

Application of normalizing flows to nuclear many-body perturbation theory PointFlow: 3D Point Cloud Generation with Continuous Normalizing Flows

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-10T23:59:06.527727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 566236d8-2786-4e47-8136-3e2d062fb5cc · inbound

GaussianGPT: Towards Autoregressive 3D Gaussian Scene Generation cites this paper.

GaussianGPT: Towards Autoregressive 3D Gaussian Scene Generation PointFlow: 3D Point Cloud Generation with Continuous Normalizing Flows

Reference 71

Resolution: unresolved; no resolver link, observed 2026-07-13T17:23:44.758186Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e757eba-8dc8-4bc9-bc81-18a186d1ce09 · inbound

Flow-based conditional cardiac anatomy generation for virtual cohorts cites this paper.

Flow-based conditional cardiac anatomy generation for virtual cohorts PointFlow: 3D Point Cloud Generation with Continuous Normalizing Flows

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-11T17:10:50.151392Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.